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Risk factors and prediction models for venous thromboembolism in ambulatory patients with lung cancer


Yan, A-R and Samarawickrema, I and Naunton, M and Peterson, GM and Yip, D and De Rosa, S and Mortazavi, R, Risk factors and prediction models for venous thromboembolism in ambulatory patients with lung cancer, Healthcare, 9, (6) pp. 1-13. ISSN 2227-9032 (2021) [Refereed Article]

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Copyright: 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons 4.0 International (CC BY 4.0) license (

DOI: doi:10.3390/healthcare9060778


Venous thromboembolism (VTE) is a significant cause of mortality in patients with lung cancer. Despite the availability of a wide range of anticoagulants to help prevent thrombosis, thromboprophylaxis in ambulatory patients is a challenge due to its associated risk of haemorrhage. As a result, anticoagulation is only recommended in patients with a relatively high risk of VTE. Efforts have been made to develop predictive models for VTE risk assessment in cancer patients, but the availability of a reliable predictive model for ambulate patients with lung cancer is unclear. We have analysed the latest information on this topic, with a focus on the lung cancer-related risk factors for VTE, and risk prediction models developed and validated in this group of patients. The existing risk models, such as the Khorana score, the PROTECHT score and the CONKO score, have shown poor performance in external validations, failing to identify many high-risk individuals. Some of the newly developed and updated models may be promising, but their further validation is needed.

Item Details

Item Type:Refereed Article
Keywords:venous thromboembolism, lung cancer, thromboprophylaxis, anticoagulant, risk prediction, risk assessment, risk model, prediction rules, risk factors
Research Division:Biomedical and Clinical Sciences
Research Group:Cardiovascular medicine and haematology
Research Field:Haematology
Objective Division:Health
Objective Group:Clinical health
Objective Field:Prevention of human diseases and conditions
UTAS Author:Naunton, M (Dr Mark Naunton)
UTAS Author:Peterson, GM (Professor Gregory Peterson)
ID Code:145047
Year Published:2021
Web of Science® Times Cited:4
Deposited By:Pharmacy
Deposited On:2021-06-28
Last Modified:2022-08-30
Downloads:10 View Download Statistics

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